{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6286986e",
   "metadata": {},
   "source": [
    "Copyright (c) MONAI Consortium  \n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");  \n",
    "you may not use this file except in compliance with the License.  \n",
    "You may obtain a copy of the License at  \n",
    "&nbsp;&nbsp;&nbsp;&nbsp;http://www.apache.org/licenses/LICENSE-2.0  \n",
    "Unless required by applicable law or agreed to in writing, software  \n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,  \n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  \n",
    "See the License for the specific language governing permissions and  \n",
    "limitations under the License.\n",
    "\n",
    "# MAISI VAE Training Tutorial\n",
    "\n",
    "This tutorial illustrates how to train the VAE model in MAISI on CT and MRI datasets. The VAE model is used for latent feature compression, which significantly reduce the memory usage of the diffusion model. The released VAE model weights can work on both CT and MRI images."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12ff48d3",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f96b6f31",
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[nibabel, tqdm]\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbc01d24",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "67e2019e-1556-41a6-95e8-5d1a65f8b3a1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MONAI version: 1.4.0rc9\n",
      "Numpy version: 1.24.4\n",
      "Pytorch version: 2.5.0a0+872d972e41.nv24.08\n",
      "MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False\n",
      "MONAI rev id: fa1c1af79ef5387434f2a76744f75b5aaca09f0b\n",
      "MONAI __file__: /workspace/Code/MONAI/monai/__init__.py\n",
      "\n",
      "Optional dependencies:\n",
      "Pytorch Ignite version: 0.4.11\n",
      "ITK version: 5.4.0\n",
      "Nibabel version: 5.2.1\n",
      "scikit-image version: 0.23.2\n",
      "scipy version: 1.14.0\n",
      "Pillow version: 10.4.0\n",
      "Tensorboard version: 2.16.2\n",
      "gdown version: 5.2.0\n",
      "TorchVision version: 0.20.0a0\n",
      "tqdm version: 4.66.5\n",
      "lmdb version: 1.5.1\n",
      "psutil version: 6.0.0\n",
      "pandas version: 2.2.2\n",
      "einops version: 0.8.0\n",
      "transformers version: 4.40.2\n",
      "mlflow version: 2.16.2\n",
      "pynrrd version: 1.0.0\n",
      "clearml version: 1.16.5rc0\n",
      "\n",
      "For details about installing the optional dependencies, please visit:\n",
      "    https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import argparse\n",
    "import glob\n",
    "import json\n",
    "import os\n",
    "import tempfile\n",
    "from pathlib import Path\n",
    "\n",
    "import torch\n",
    "from monai.networks.nets import PatchDiscriminator\n",
    "from monai.apps import download_and_extract\n",
    "from monai.config import print_config\n",
    "from monai.data import CacheDataset, DataLoader\n",
    "from monai.inferers.inferer import SimpleInferer, SlidingWindowInferer\n",
    "from monai.losses.adversarial_loss import PatchAdversarialLoss\n",
    "from monai.losses.perceptual import PerceptualLoss\n",
    "from monai.utils import set_determinism\n",
    "from torch.amp import GradScaler, autocast\n",
    "from torch.nn import L1Loss, MSELoss\n",
    "from torch.optim import lr_scheduler\n",
    "from torch.utils.tensorboard import SummaryWriter\n",
    "\n",
    "from scripts.transforms import VAE_Transform\n",
    "from scripts.utils import KL_loss, define_instance, dynamic_infer\n",
    "from scripts.utils_plot import find_label_center_loc, get_xyz_plot, show_image\n",
    "\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50e37a43",
   "metadata": {},
   "source": [
    "## Setup data directory\n",
    "You can specify a directory with the `MONAI_DATA_DIRECTORY` environment variable.\n",
    "This allows you to save results and reuse downloads.\n",
    "If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e3c12dcc",
   "metadata": {},
   "outputs": [],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "if directory is not None:\n",
    "    os.makedirs(directory, exist_ok=True)\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42d9719f-159b-4ecf-9689-dce848e0cf11",
   "metadata": {},
   "source": [
    "## Download dataset\n",
    "\n",
    "This tutorial shows how to train a VAE with both CT and MRI data. We use MSD 09 Spleen segmentation and MSD 01 Brats16&17 Brain Tumor segmentation as examples. The dataset comes from http://medicaldecathlon.com/.\n",
    "\n",
    "This is just an example on how to build a multi-modal training dataset with both CT and MRI involved. Users can choose their own training datasets.\n",
    "\n",
    "For the released trained autoencoder model weights, we used CT and MRI data from [TCIA Covid 19 Chest CT](https://wiki.cancerimagingarchive.net/display/Public/CT+Images+in+COVID-19#70227107b92475d33ae7421a9b9c426f5bb7d5b3), [TCIA Colon Abdomen CT](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=3539213), [MSD03 Liver Abdomen CT](http://medicaldecathlon.com/), [LIDC chest CT](https://www.cancerimagingarchive.net/collection/lidc-idri/), [TCIA Stony Brook Covid Chest CT](https://www.cancerimagingarchive.net/collection/covid-19-ny-sbu/), [NLST Chest CT](https://www.cancerimagingarchive.net/collection/nlst/), [TCIA Upenn GBM Brain MR](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=70225642), [Aomic Brain MR](https://openneuro.org/datasets/ds003097/versions/1.2.1), [QTIM Brain MR](https://openneuro.org/datasets/ds004169/versions/1.0.7), [TCIA Acrin Chest MR](https://www.cancerimagingarchive.net/collection/acrin-contralateral-breast-mr/), [TCIA Prostate MR Below-Abdomen MR](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=68550661#68550661a2c52df5969d435eae49b9669bea21a6). In total, we have\n",
    "- number of CT training data: 37243\n",
    "- number of MRI training data: 17887\n",
    "- number of CT validation data:1963\n",
    "- number of MRI validation data: 940"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ec6f0c29-1989-45c6-bd64-35682533794b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# MSD Spleen CT data\n",
    "resource = \"https://msd-for-monai.s3-us-west-2.amazonaws.com/Task09_Spleen.tar\"\n",
    "md5 = \"410d4a301da4e5b2f6f86ec3ddba524e\"\n",
    "\n",
    "compressed_file = os.path.join(root_dir, \"Task09_Spleen.tar\")\n",
    "data_path_1 = os.path.join(root_dir, \"Task09_Spleen\")\n",
    "if not os.path.exists(data_path_1):\n",
    "    download_and_extract(resource, compressed_file, root_dir, md5)\n",
    "\n",
    "# Only include 20 of the images for quick demo purpose\n",
    "train_images_1 = sorted(glob.glob(os.path.join(data_path_1, \"imagesTr\", \"*.nii.gz\")))[:20]\n",
    "data_dicts_1 = [{\"image\": image_name} for image_name in train_images_1]\n",
    "len_train = int(0.8 * len(data_dicts_1))\n",
    "train_files_1, val_files_1 = data_dicts_1[:len_train], data_dicts_1[len_train:]\n",
    "\n",
    "# MSD Brats MRI data\n",
    "resource = \"https://msd-for-monai.s3-us-west-2.amazonaws.com/Task01_BrainTumour.tar\"\n",
    "md5 = \"240a19d752f0d9e9101544901065d872\"\n",
    "\n",
    "compressed_file = os.path.join(root_dir, \"Task01_BrainTumour.tar\")\n",
    "data_path_2 = os.path.join(root_dir, \"Task01_BrainTumour\")\n",
    "if not os.path.exists(data_path_2):\n",
    "    download_and_extract(resource, compressed_file, root_dir, md5)\n",
    "\n",
    "# Only include 30 of the images for quick demo purpose\n",
    "train_images_2 = sorted(glob.glob(os.path.join(data_path_2, \"imagesTr\", \"*.nii.gz\")))[:30]\n",
    "data_dicts_2 = [{\"image\": image_name} for image_name in train_images_2]\n",
    "len_train = int(0.8 * len(data_dicts_2))\n",
    "train_files_2, val_files_2 = data_dicts_2[:len_train], data_dicts_2[len_train:]\n",
    "\n",
    "# Expandable to more datasets\n",
    "datasets = {\n",
    "    1: {\n",
    "        \"data_name\": \"Dataset 1 MSD09 Spleen Abdomen CT\",\n",
    "        \"train_files\": train_files_1,\n",
    "        \"val_files\": val_files_1,\n",
    "        \"modality\": \"ct\",\n",
    "    },\n",
    "    2: {\n",
    "        \"data_name\": \"Dataset 2 MSD01 Brats Brain MRI\",\n",
    "        \"train_files\": train_files_2,\n",
    "        \"val_files\": val_files_2,\n",
    "        \"modality\": \"mri\",\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f164998-6c7d-44cd-93ee-e9d36c26ef96",
   "metadata": {},
   "source": [
    "## Read in environment setting, including data directory, model directory, and output directory\n",
    "\n",
    "The information for data directory, model directory, and output directory are saved in `\"./configs/environment_maisi_vae_train.json\"`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c38b4c33",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model_dir: ./models/\n",
      "tfevent_path: ./outputs/tfevent\n",
      "Trained model will be saved as ./models/autoencoder.pt and ./models/discriminator.pt.\n",
      "Tensorboard event will be saved as ./outputs/tfevent/autoencoder.\n"
     ]
    }
   ],
   "source": [
    "args = argparse.Namespace()\n",
    "\n",
    "environment_file = \"./configs/environment_maisi_vae_train.json\"\n",
    "env_dict = json.load(open(environment_file, \"r\"))\n",
    "for k, v in env_dict.items():\n",
    "    setattr(args, k, v)\n",
    "    print(f\"{k}: {v}\")\n",
    "\n",
    "# model path\n",
    "Path(args.model_dir).mkdir(parents=True, exist_ok=True)\n",
    "trained_g_path = os.path.join(args.model_dir, \"autoencoder.pt\")\n",
    "trained_d_path = os.path.join(args.model_dir, \"discriminator.pt\")\n",
    "print(f\"Trained model will be saved as {trained_g_path} and {trained_d_path}.\")\n",
    "\n",
    "# initialize tensorboard writer\n",
    "Path(args.tfevent_path).mkdir(parents=True, exist_ok=True)\n",
    "tensorboard_path = os.path.join(args.tfevent_path, \"autoencoder\")\n",
    "Path(tensorboard_path).mkdir(parents=True, exist_ok=True)\n",
    "tensorboard_writer = SummaryWriter(tensorboard_path)\n",
    "print(f\"Tensorboard event will be saved as {tensorboard_path}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae98233f-6492-40ed-9ba5-7ab4ae0f8ffd",
   "metadata": {},
   "source": [
    "## Read in configuration setting, including network definition, body region and anatomy to generate, etc.\n",
    "\n",
    "The information for the training hyperparameters and data processing parameters, like learning rate and patch size, are stored in `\"./configs/config_maisi_vae_train\"`. Please refer to README.md for the details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "533414f3-bef5-49f7-b082-f803b5e494bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "random_aug: True\n",
      "spacing_type: rand_zoom\n",
      "spacing: None\n",
      "select_channel: 0\n",
      "batch_size: 1\n",
      "patch_size: [64, 64, 64]\n",
      "val_batch_size: 1\n",
      "val_patch_size: None\n",
      "val_sliding_window_patch_size: [96, 96, 64]\n",
      "lr: 0.0001\n",
      "perceptual_weight: 0.3\n",
      "kl_weight: 1e-07\n",
      "adv_weight: 0.1\n",
      "recon_loss: l1\n",
      "val_interval: 10\n",
      "cache: 0.5\n",
      "amp: True\n",
      "n_epochs: 1\n",
      "Network definition and training hyperparameters have been loaded.\n"
     ]
    }
   ],
   "source": [
    "config_file = \"./configs/config_maisi3d-rflow.json\"\n",
    "config_dict = json.load(open(config_file, \"r\"))\n",
    "for k, v in config_dict.items():\n",
    "    setattr(args, k, v)\n",
    "\n",
    "# check the format of inference inputs\n",
    "config_train_file = \"./configs/config_maisi_vae_train.json\"\n",
    "config_train_dict = json.load(open(config_train_file, \"r\"))\n",
    "for k, v in config_train_dict[\"data_option\"].items():\n",
    "    setattr(args, k, v)\n",
    "    print(f\"{k}: {v}\")\n",
    "for k, v in config_train_dict[\"autoencoder_train\"].items():\n",
    "    setattr(args, k, v)\n",
    "    print(f\"{k}: {v}\")\n",
    "\n",
    "print(\"Network definition and training hyperparameters have been loaded.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d22296e5",
   "metadata": {},
   "source": [
    "## Set deterministic training for reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "87ba613d-a2f5-4afc-95df-65ad21fafedd",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_determinism(seed=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9125f7c8",
   "metadata": {},
   "source": [
    "## Build training dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8685da6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset 1 MSD09 Spleen Abdomen CT: number of training data is 16.\n",
      "Dataset 1 MSD09 Spleen Abdomen CT: number of val data is 4.\n",
      "Dataset 2 MSD01 Brats Brain MRI: number of training data is 24.\n",
      "Dataset 2 MSD01 Brats Brain MRI: number of val data is 6.\n",
      "Total number of training data for ct is 16.\n",
      "Total number of val data for ct is 4.\n",
      "Total number of training data for mri is 24.\n",
      "Total number of val data for mri is 6.\n"
     ]
    }
   ],
   "source": [
    "# Initialize file lists\n",
    "train_files = {\"ct\": [], \"mri\": []}\n",
    "val_files = {\"ct\": [], \"mri\": []}\n",
    "\n",
    "\n",
    "# Function to add assigned class to datalist\n",
    "def add_assigned_class_to_datalist(datalist, classname):\n",
    "    for item in datalist:\n",
    "        item[\"class\"] = classname\n",
    "    return datalist\n",
    "\n",
    "\n",
    "# Process datasets\n",
    "for _, dataset in datasets.items():\n",
    "    train_files_i = dataset[\"train_files\"]\n",
    "    val_files_i = dataset[\"val_files\"]\n",
    "    print(f\"{dataset['data_name']}: number of training data is {len(train_files_i)}.\")\n",
    "    print(f\"{dataset['data_name']}: number of val data is {len(val_files_i)}.\")\n",
    "\n",
    "    # attach modality to each file\n",
    "    modality = dataset[\"modality\"]\n",
    "    train_files[modality] += add_assigned_class_to_datalist(train_files_i, modality)\n",
    "    val_files[modality] += add_assigned_class_to_datalist(val_files_i, modality)\n",
    "\n",
    "# Print total numbers for each modality\n",
    "for modality in train_files.keys():\n",
    "    print(f\"Total number of training data for {modality} is {len(train_files[modality])}.\")\n",
    "    print(f\"Total number of val data for {modality} is {len(val_files[modality])}.\")\n",
    "\n",
    "# Combine the data\n",
    "train_files_combined = train_files[\"ct\"] + train_files[\"mri\"]\n",
    "val_files_combined = val_files[\"ct\"] + val_files[\"mri\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06d1e997-c239-463b-8905-a05de5c0afff",
   "metadata": {},
   "source": [
    "## Define data transforms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "404c314e-6998-417b-97cc-8a86cc3a9782",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_transform = VAE_Transform(\n",
    "    is_train=True,\n",
    "    random_aug=args.random_aug,  # whether apply random data augmentation for training\n",
    "    k=4,  # patches should be divisible by k\n",
    "    patch_size=args.patch_size,\n",
    "    val_patch_size=args.val_patch_size,\n",
    "    output_dtype=torch.float16,  # final data type\n",
    "    spacing_type=args.spacing_type,\n",
    "    spacing=args.spacing,\n",
    "    image_keys=[\"image\"],\n",
    "    label_keys=[],\n",
    "    additional_keys=[],\n",
    "    select_channel=0,\n",
    ")\n",
    "val_transform = VAE_Transform(\n",
    "    is_train=False,\n",
    "    random_aug=False,\n",
    "    k=4,  # patches should be divisible by k\n",
    "    val_patch_size=args.val_patch_size,  # if None, will validate on whole image volume\n",
    "    output_dtype=torch.float16,  # final data type\n",
    "    image_keys=[\"image\"],\n",
    "    label_keys=[],\n",
    "    additional_keys=[],\n",
    "    select_channel=0,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6b67b9d-fe54-4d6f-95c3-cb84122f1e3e",
   "metadata": {},
   "source": [
    "## Build data loader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0126468a-273b-40fc-ae18-b8c1b5302e28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of training data is 40.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 20/20 [00:00<00:00, 216759.90it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of validation data is 10.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading dataset: 100%|██████████| 5/5 [00:00<00:00, 81284.96it/s]\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total number of training data is {len(train_files_combined)}.\")\n",
    "dataset_train = CacheDataset(data=train_files_combined, transform=train_transform, cache_rate=args.cache, num_workers=8)\n",
    "dataloader_train = DataLoader(dataset_train, batch_size=args.batch_size, num_workers=4, shuffle=True, drop_last=True)\n",
    "\n",
    "print(f\"Total number of validation data is {len(val_files_combined)}.\")\n",
    "dataset_val = CacheDataset(data=val_files_combined, transform=val_transform, cache_rate=args.cache, num_workers=8)\n",
    "dataloader_val = DataLoader(dataset_val, batch_size=args.val_batch_size, num_workers=4, shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "114bb8d7-17db-48b5-8d08-d8af61fc763a",
   "metadata": {},
   "source": [
    "## Visualize the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e0453d9f-1614-4c84-aef1-77b6339d8c12",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train image shape torch.Size([1, 64, 64, 64])\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Val image shape torch.Size([1, 512, 512, 44])\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "example_vis_img = dataset_train[0][\"image\"]\n",
    "print(f\"Train image shape {example_vis_img.shape}\")\n",
    "center_loc_axis = find_label_center_loc(example_vis_img.squeeze(0))\n",
    "vis_image = get_xyz_plot(example_vis_img, center_loc_axis, mask_bool=False)\n",
    "show_image(vis_image, title=\"training image\")\n",
    "\n",
    "example_vis_img = dataset_val[0][\"image\"]\n",
    "print(f\"Val image shape {example_vis_img.shape}\")\n",
    "center_loc_axis = find_label_center_loc(example_vis_img.squeeze(0))\n",
    "vis_image = get_xyz_plot(example_vis_img, center_loc_axis, mask_bool=False)\n",
    "show_image(vis_image, title=\"validation image\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02476bc7-c980-4b0b-8d7a-c780a5ccc11f",
   "metadata": {},
   "source": [
    "## Initialize networks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d499f7b1",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda\")\n",
    "\n",
    "args.autoencoder_def[\"num_splits\"] = 1\n",
    "autoencoder = define_instance(args, \"autoencoder_def\").to(device)\n",
    "discriminator_norm = \"INSTANCE\"\n",
    "discriminator = PatchDiscriminator(\n",
    "    spatial_dims=args.spatial_dims,\n",
    "    num_layers_d=3,\n",
    "    channels=32,\n",
    "    in_channels=1,\n",
    "    out_channels=1,\n",
    "    norm=discriminator_norm,\n",
    ").to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe658ac2-6a90-40eb-89fc-7ec35a41dc4b",
   "metadata": {},
   "source": [
    "## Training config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "271f91bf-1c55-46e2-ae56-8677cd8eb81f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Use l1 loss\n"
     ]
    }
   ],
   "source": [
    "# config loss and loss weight\n",
    "if args.recon_loss == \"l2\":\n",
    "    intensity_loss = MSELoss()\n",
    "    print(\"Use l2 loss\")\n",
    "else:\n",
    "    intensity_loss = L1Loss(reduction=\"mean\")\n",
    "    print(\"Use l1 loss\")\n",
    "adv_loss = PatchAdversarialLoss(criterion=\"least_squares\")\n",
    "\n",
    "loss_perceptual = (\n",
    "    PerceptualLoss(spatial_dims=3, network_type=\"squeeze\", is_fake_3d=True, fake_3d_ratio=0.2).eval().to(device)\n",
    ")\n",
    "\n",
    "# config optimizer and lr scheduler\n",
    "optimizer_g = torch.optim.Adam(params=autoencoder.parameters(), lr=args.lr, eps=1e-06 if args.amp else 1e-08)\n",
    "optimizer_d = torch.optim.Adam(params=discriminator.parameters(), lr=args.lr, eps=1e-06 if args.amp else 1e-08)\n",
    "\n",
    "\n",
    "# please adjust the learning rate warmup rule based on your dataset and n_epochs\n",
    "def warmup_rule(epoch):\n",
    "    # learning rate warmup rule\n",
    "    if epoch < 10:\n",
    "        return 0.01\n",
    "    elif epoch < 20:\n",
    "        return 0.1\n",
    "    else:\n",
    "        return 1.0\n",
    "\n",
    "\n",
    "scheduler_g = lr_scheduler.LambdaLR(optimizer_g, lr_lambda=warmup_rule)\n",
    "scheduler_d = lr_scheduler.LambdaLR(optimizer_d, lr_lambda=warmup_rule)\n",
    "\n",
    "# set AMP scaler\n",
    "if args.amp:\n",
    "    # test use mean reduction for everything\n",
    "    scaler_g = GradScaler(\"cuda\", init_scale=2.0**8, growth_factor=1.5)\n",
    "    scaler_d = GradScaler(\"cuda\", init_scale=2.0**8, growth_factor=1.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3c00aa4-a6ee-4adc-8933-51757cb79628",
   "metadata": {},
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c251a32-390f-46dd-a613-75b12a7884c1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr: [1.0000000000000002e-06]\n",
      "Epoch 0 train_vae_loss 0.8171043227903056: {'recons_loss': 0.3500463513657451, 'kl_loss': 10106.081433105468, 'p_loss': 1.5534912109375}.\n",
      "Save trained autoencoder to ./models/autoencoder.pt\n",
      "Save trained discriminator to ./models/discriminator.pt\n",
      "Epoch 0 val_vae_loss 0.5349921801481248: {'recons_loss': 0.1676610678434372, 'kl_loss': 14424.404296875, 'p_loss': 1.21962890625}.\n",
      "Got best val vae loss.\n",
      "Save trained autoencoder to ./models/autoencoder_epoch0.pt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..1.2285156].\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.image:Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [-2.8925781..4.34375].\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize variables\n",
    "val_interval = args.val_interval\n",
    "best_val_recon_epoch_loss = 10000000.0\n",
    "total_step = 0\n",
    "start_epoch = 0\n",
    "max_epochs = args.n_epochs\n",
    "\n",
    "# Setup validation inferer\n",
    "val_inferer = (\n",
    "    SlidingWindowInferer(\n",
    "        roi_size=args.val_sliding_window_patch_size,\n",
    "        sw_batch_size=1,\n",
    "        progress=False,\n",
    "        overlap=0.0,\n",
    "        device=torch.device(\"cpu\"),\n",
    "        sw_device=device,\n",
    "    )\n",
    "    if args.val_sliding_window_patch_size\n",
    "    else SimpleInferer()\n",
    ")\n",
    "\n",
    "\n",
    "def loss_weighted_sum(losses):\n",
    "    return losses[\"recons_loss\"] + args.kl_weight * losses[\"kl_loss\"] + args.perceptual_weight * losses[\"p_loss\"]\n",
    "\n",
    "\n",
    "# Training and validation loops\n",
    "for epoch in range(start_epoch, max_epochs):\n",
    "    print(\"lr:\", scheduler_g.get_lr())\n",
    "    autoencoder.train()\n",
    "    discriminator.train()\n",
    "    train_epoch_losses = {\"recons_loss\": 0, \"kl_loss\": 0, \"p_loss\": 0}\n",
    "\n",
    "    for batch in dataloader_train:\n",
    "        images = batch[\"image\"].to(device).contiguous()\n",
    "        optimizer_g.zero_grad(set_to_none=True)\n",
    "        optimizer_d.zero_grad(set_to_none=True)\n",
    "        with autocast(\"cuda\", enabled=args.amp):\n",
    "            # Train Generator\n",
    "            reconstruction, z_mu, z_sigma = autoencoder(images)\n",
    "            losses = {\n",
    "                \"recons_loss\": intensity_loss(reconstruction, images),\n",
    "                \"kl_loss\": KL_loss(z_mu, z_sigma),\n",
    "                \"p_loss\": loss_perceptual(reconstruction.float(), images.float()),\n",
    "            }\n",
    "            logits_fake = discriminator(reconstruction.contiguous().float())[-1]\n",
    "            generator_loss = adv_loss(logits_fake, target_is_real=True, for_discriminator=False)\n",
    "            loss_g = loss_weighted_sum(losses) + args.adv_weight * generator_loss\n",
    "\n",
    "            if args.amp:\n",
    "                scaler_g.scale(loss_g).backward()\n",
    "                scaler_g.unscale_(optimizer_g)\n",
    "                scaler_g.step(optimizer_g)\n",
    "                scaler_g.update()\n",
    "            else:\n",
    "                loss_g.backward()\n",
    "                optimizer_g.step()\n",
    "\n",
    "            # Train Discriminator\n",
    "            logits_fake = discriminator(reconstruction.contiguous().detach())[-1]\n",
    "            loss_d_fake = adv_loss(logits_fake, target_is_real=False, for_discriminator=True)\n",
    "            logits_real = discriminator(images.contiguous().detach())[-1]\n",
    "            loss_d_real = adv_loss(logits_real, target_is_real=True, for_discriminator=True)\n",
    "            loss_d = (loss_d_fake + loss_d_real) * 0.5\n",
    "\n",
    "            if args.amp:\n",
    "                scaler_d.scale(loss_d).backward()\n",
    "                scaler_d.step(optimizer_d)\n",
    "                scaler_d.update()\n",
    "            else:\n",
    "                loss_d.backward()\n",
    "                optimizer_d.step()\n",
    "\n",
    "        # Log training loss\n",
    "        total_step += 1\n",
    "        for loss_name, loss_value in losses.items():\n",
    "            tensorboard_writer.add_scalar(f\"train_{loss_name}_iter\", loss_value.item(), total_step)\n",
    "            train_epoch_losses[loss_name] += loss_value.item()\n",
    "        tensorboard_writer.add_scalar(\"train_adv_loss_iter\", generator_loss, total_step)\n",
    "        tensorboard_writer.add_scalar(\"train_fake_loss_iter\", loss_d_fake, total_step)\n",
    "        tensorboard_writer.add_scalar(\"train_real_loss_iter\", loss_d_real, total_step)\n",
    "\n",
    "    scheduler_g.step()\n",
    "    scheduler_d.step()\n",
    "    for key in train_epoch_losses:\n",
    "        train_epoch_losses[key] /= len(dataloader_train)\n",
    "    print(f\"Epoch {epoch} train_vae_loss {loss_weighted_sum(train_epoch_losses)}: {train_epoch_losses}.\")\n",
    "    for loss_name, loss_value in train_epoch_losses.items():\n",
    "        tensorboard_writer.add_scalar(f\"train_{loss_name}_epoch\", loss_value, epoch)\n",
    "    torch.save(autoencoder.state_dict(), trained_g_path)\n",
    "    torch.save(discriminator.state_dict(), trained_d_path)\n",
    "    print(\"Save trained autoencoder to\", trained_g_path)\n",
    "    print(\"Save trained discriminator to\", trained_d_path)\n",
    "\n",
    "    # Validation\n",
    "    if epoch % val_interval == 0:\n",
    "        autoencoder.eval()\n",
    "        val_epoch_losses = {\"recons_loss\": 0, \"kl_loss\": 0, \"p_loss\": 0}\n",
    "        val_loader_iter = iter(dataloader_val)\n",
    "        for batch in dataloader_val:\n",
    "            with torch.no_grad():\n",
    "                with autocast(\"cuda\", enabled=args.amp):\n",
    "                    images = batch[\"image\"]\n",
    "                    reconstruction, z_mu, z_sigma = dynamic_infer(val_inferer, autoencoder, images)\n",
    "                    reconstruction = reconstruction.to(device)\n",
    "                    val_epoch_losses[\"recons_loss\"] += intensity_loss(reconstruction, images.to(device)).item()\n",
    "                    val_epoch_losses[\"kl_loss\"] += KL_loss(z_mu, z_sigma).item()\n",
    "                    val_epoch_losses[\"p_loss\"] += loss_perceptual(reconstruction, images.to(device)).item()\n",
    "\n",
    "        for key in val_epoch_losses:\n",
    "            val_epoch_losses[key] /= len(dataloader_val)\n",
    "\n",
    "        val_loss_g = loss_weighted_sum(val_epoch_losses)\n",
    "        print(f\"Epoch {epoch} val_vae_loss {val_loss_g}: {val_epoch_losses}.\")\n",
    "\n",
    "        if val_loss_g < best_val_recon_epoch_loss:\n",
    "            best_val_recon_epoch_loss = val_loss_g\n",
    "            trained_g_path_epoch = f\"{trained_g_path[:-3]}_epoch{epoch}.pt\"\n",
    "            torch.save(autoencoder.state_dict(), trained_g_path_epoch)\n",
    "            print(\"Got best val vae loss.\")\n",
    "            print(\"Save trained autoencoder to\", trained_g_path_epoch)\n",
    "\n",
    "        for loss_name, loss_value in val_epoch_losses.items():\n",
    "            tensorboard_writer.add_scalar(loss_name, loss_value, epoch)\n",
    "\n",
    "        # Monitor scale_factor\n",
    "        # We'd like to tune kl_weights in order to make scale_factor close to 1.\n",
    "        scale_factor_sample = 1.0 / z_mu.flatten().std()\n",
    "        tensorboard_writer.add_scalar(\"val_one_sample_scale_factor\", scale_factor_sample, epoch)\n",
    "\n",
    "        # Monitor reconstruction result\n",
    "        center_loc_axis = find_label_center_loc(images[0, 0, ...])\n",
    "        vis_image = get_xyz_plot(images[0, ...], center_loc_axis, mask_bool=False)\n",
    "        vis_recon_image = get_xyz_plot(reconstruction[0, ...], center_loc_axis, mask_bool=False)\n",
    "\n",
    "        tensorboard_writer.add_image(\n",
    "            \"val_orig_img\",\n",
    "            vis_image.transpose([2, 0, 1]),\n",
    "            epoch,\n",
    "        )\n",
    "        tensorboard_writer.add_image(\n",
    "            \"val_recon_img\",\n",
    "            vis_recon_image.transpose([2, 0, 1]),\n",
    "            epoch,\n",
    "        )\n",
    "\n",
    "        show_image(vis_image, title=\"val image\")\n",
    "        show_image(vis_recon_image, title=\"val recon result\")"
   ]
  }
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